On the Detection of Direct Directed Information Flow in fMRI

Wolfgang Mader, David Feess, Ruediger Lange, Dorothee Saur, Volkmar Glauche, Cornelius Weiller, Jens Timmer, Bjoern Schelter

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


To infer interactions from functional magnetic resonance imaging (fMRI) data, structural equation modeling (SEM) as well as dynamic causal modeling (DCM) has been suggested. Directed partial correlation (dPC) is a measure which detects Granger causality in multivariate systems. To demonstrate the strengths as well as the limitations of directed partial correlation we first applied it to simulated data tailored to the problem at hand. Second, after dPC has proven to be usefull for fMRI data analysis, we applied it to actual fMRI data.

Original languageEnglish
Pages (from-to)965-974
Number of pages10
JournalIEEE Journal of Selected Topics in Signal Processing
Issue number6
Publication statusPublished - Dec 2008


  • directed partial correlation
  • Granger causality
  • VAR-processes
  • fMRI
  • instantaneous interactions


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